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How to Convince Your Boss It’s Time to Expand Your Data Science Team
Tell me if this sounds familiar. Your job description includes data science and data visualization. You’re the go-to expert for building the architecture and the point person when something goes haywire. You’re expected to make sense of the data lake and ensure it’s labeled correctly. Plus, they need you... Read more
How to Interpret What Your AI Engineer is Telling You
You’ve hired your first AI engineer, and communication has been…tricky. It’s not that you can’t get things accomplished or that the work has been shoddy. Instead, it seems like you’re talking around each other in meetings and status updates. The good news is that you can learn what your... Read more
Is Your Business Ready for AI Adoption? How to Know for Sure
The problem with new tech is that adopting it is full of uncertainty. Even if you’ve moved into a leadership position from data science, knowing how and when to implement AI adoption from a business perspective is challenging. You need to move forward, but you also have a lot... Read more
If Your Business Can’t Compete With AI, Then Quit
Make no mistake. AI is going to take some jobs. It might even take entire industries and revolutionize the way we do business. If you’re worried about how your business will hold up in the coming era of machines, you aren’t alone. Your business isn’t immune, but it will... Read more
How Product Managers Learn About AI Meeting Peak Effectiveness
The most frequent question I get about AI from colleagues, product managers, and others, is, “What do I need to know about AI and what’s the best way to learn it?” I’ve invested a considerable amount of time taking numerous courses, so I dug into my emails to collect... Read more
How to Write a Better Data Science Job Description
You’ve been looking to make a data science team, but you can’t get the right person. Too many terrible applications. Not enough talent. As data science becomes an integral part of business, business leaders are looking to add this crucial position to their teams. Unfortunately, confusion about terms and... Read more
6 Reasons Your Business AI Initiative is Falling Behind the Race
If you’ve gotten excited about AI’s reach into the business sector, you aren’t alone. Around 61% of businesses have already implemented some sort of AI initiative, and it’s likely your business has as well. If your AI initiative isn’t delivering the results you expected, it may not be the... Read more
AI and Machine Learning in Practice
AI needs to be strategic. Playing with AI on the edges and deploying small prototypes and pilots isn’t going to help revolutionize your business model. Rather, taking a long look at your current business and deciding where AI has the potential to make the most significant impact is the... Read more
Deep Learning for Business: 5 Use Cases
Enterprises at every stage of growth from startups to Fortune 500 firms are using AI, machine learning, and deep learning technologies for a wide variety of applications. Deep learning, as the fastest growing area in AI, is empowering much progress in all classes of emerging markets and ultimately will... Read more
Data and the Future of Value
How to value data as an asset istorically, companies have pursued the dollar as a measure of value in the pursuit of shareholder value. Cash flow, profits, and asset values are all about dollars. I think an additional set of measurements can be added to the mix around the value of... Read more